AM
analyticalrohit/AI-ML-Cheatsheets
All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.
822 172 +0/wk
GitHub
artificial-intelligence cheetsheet convolutional-neural-networks data-science deep-learning llms machine-learning neural-networks probability statistics transformers
Trend
3
Star & Fork Trend (45 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
analyticalrohit/AI-ML-Cheatsheets has +0 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | AI-ML-Cheatsheets | codespaces-jupyter | jumanji | golf |
|---|---|---|---|---|
| Stars | 822 | 822 | 822 | 821 |
| Forks | 172 | 1.6k | 95 | 68 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | N/A | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs codespaces-jupyter
AI-ML-Cheatsheets
codespaces-jupyter
Maintenance Activity 51
Last code push 92 days ago.
Community Engagement 100
Fork-to-star ratio: 20.9%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.